Paper Production Projects
Dr. Taylor collaborated with
J. D. Irving Ltd. Forest Products division
(Irving Paper, St. John, NB)
to develop advanced instrumentation and control systems for paper production.
These projects include:
Brightness Sensor for Monitoring Pulp:
A key component for controlling paper brightness is an on-line
pulp brightness sensor. Irving Paper has several industrial brightness
sensors, but they do not stay properly calibrated, due to changes in pulp
freeness, consistency, temperature, pH and other factors/variables.
This necessitates an overly conservative manual control approach that uses
more bleaching chemicals than necessary, resulting in excessive direct
and indirect costs (chemical consumption, environmental remediation).
Advanced Control of the Pulp Bleaching Process:
With the above infrastructure in place, an Intelligent Self-Optimizing
Control (ISOC) system will be developed according to the approach and
schematic presented in ISOC System
Overview. The conventional process control layer will be
driven by an intelligent supervisory control system. The process and
cost (ultimate performance) models that are at the heart of the ISOC
layer will be generated from first-principles modelling, model
identification or curve-fitting approaches (e.g., neural nets), and
engineering and operational experience. To be as effective as possible
these models will be continually refined by an automated model tuning
process (model identification and/or curve-fitting). An intelligent
supervisor will then be developed, using a combination of AI methods
for defining an appropriate model-based optimization problem plus
suitable optimization software for solving it; this will create the
optimized recipes needed for bleaching operation in order to achieve
the desired results.
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Information supplied by: Jim Taylor
Last update: 2000 July 21
Email requests for further information to:
Jim Taylor (jtaylor@unb.ca)
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